技术职务:
副教授

邮箱:
qqfan(at)shmtu.edu.cn

工作电话:

教育背景:
2012.09—2015.06：华东理工大学信息科学与工程学院，获博士学
2008.09—2011.03：华东理工大学信息科学与工程学院，获硕士学位
2003.09—2007.07：武汉工程大学电气信息学院，获学士学位

工作履历:
2015.09—：上海海事大学物流研究中心，讲师
2011.05—2012.08：浙江工程设计有限公司电仪室，助理工程师

研究领域:
1. 约束优化、多目标优化、进化算法、机器学习
2. 物流运作优化、博弈优化、rfid网络布局优化、动态优化等
3. 工业应用

学术成果:
已发表论文20余篇，其中SCI收录论文14篇、EI收录论文2篇。
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代表性论文：
[1] Q.Q. Fan and X.F. Yan. Self-adaptive differential evolution algorithm with zoning evolution of control parameters and adaptive mutation strategies. IEEE Transactions on Cybernetics, 2016, 46(1):219-232.
[2] Q.Q. Fan *, X.F. Yan, Y.L. Zhang. Auto-selection mechanism of differential evolution algorithm variants and its application. European Journal of Operational Research, 2017. doi.org/10.1016/j.ejor.2017.10.013
[3] Q.Q. Fan and X.F. Yan. Self-adaptive differential evolution algorithm with discrete mutation control parameters. Expert Systems with Applications, 2015, 42(3):1551-1572.
[4] Q.Q. Fan *, W.L. Wang, and X.F. Yan. Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems. Applied Soft Computing, 2017. 59: 33-44
[5] Q.Q. Fan and X.F. Yan. Self-adaptive particle swarm optimization with multiple velocity strategies and its application for p-xylene oxidation reaction process optimization. Chemometrics and Intelligent Laboratory Systems, 2014, 12,139(15): 15-25.
[6] Q.Q. Fan* and Y.L. Zhang. Self-adaptive differential evolution algorithm with crossover strategies adaptation and its applications in parameter estimation. Chemometrics and Intelligent Laboratory Systems, 2016, 151:164-171.
[7] Q.Q. Fan and X.F. Yan. Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective optimization of p-xylene oxidation reaction process. Journal of Intelligent Manufacturing, 2018. 29(1):35-49.
[8] Q.Q. Fan and X.F. Yan. Differential evolution algorithm with self-adaptive strategy and control parameters for p-xylene oxidation process optimization. Soft Computing, 2015, 19(5): 1363-1391.
[9] Q.Q. Fan*, X.F. Yan, and Y. Xue. Prior knowledge guided differential evolution. Soft Computing, 2017. 21(22):6841-6858.
[10] Y.M. Dong，Q.Q. Fan, and X.F. Yan. Development of a hybrid model for sodium gluconate fermentation by aspergillus niger. Journal of Chemical Technology and Biotechnology, 2014, 89(12):1875-1882.
[11] Q.Q. Fan *, W.L. Wang, and X.F. Yan. Differential evolution algorithm with strategy adaptation and knowledge-based control parameters. Artificial Intelligence Review, 2017: 1-35. DOI 10.1007/s10462-017-9562-6